scenario-analyzer
Skill that analyzes 18-month scenarios from a news headline. Runs the primary analysis with the scenario-analyst agent and obtains a second opinion with the strategy-reviewer agent. Generates a comprehensive English report covering 1st/2nd/3rd-order impacts, recommended stocks, and a critical review
By tradermonty · 2,184 installs
npx skills add tradermonty/claude-trading-skills --skill scenario-analyzer
Source repository · Upstream listing
Scenario Analyzer
Overview
This skill analyzes medium to long term (18 month) investment scenarios
starting from a news headline. It invokes two specialized agents in sequence
( scenario analyst and strategy reviewer ) and integrates multi angle
analysis with a critical review into a comprehensive report.
When to Use This Skill
Use this skill when:
You want to analyze the medium to long term investment impact of a news headline
You want to construct multiple 18 month scenarios
You want sector/stock impacts organized into 1st/2nd/3rd order effects
You need a comprehensive analysis that includes a second opinion
Examples:
Prerequisites
API Keys : None (uses only WebSearch/WebFetch)
MCP Servers : None
Dependencies : The scenario analyst and strategy reviewer agents must be available via the Task tool
Architecture
Workflow
Phase 1: Preparation
Step 1.1: Headline Parsing
Parse the headline provided by the user.
1. Headline check
Confirm a headline was passed as an argument
If not provided, ask the user for input
2. Keyword extraction
Key entities (company names, country names, institution names)
Numeric data (rates, prices, quantities)
Actions (raise, cut, announce, agree, etc.)
Step 1.2: Event Type Classification
Classify the headline into one of the following categories:
Category Examples
Monetary Policy FOMC, ECB, BOJ, rate hike, rate cut, QE/QT
Geopolitics War, sanctions, tariffs, trade friction
Regulation & Policy Environmental regulation, financial regulation, antitrust
Technology AI, EV, renewables, semiconductors
Commodities Crude oil, gold, copper, agricultural products
Corporate & M&A Acquisitions, bankruptcies, earnings, industry restructuring
Step 1.3: Reference Loading
Based on the event type, load the relevant references:
Reference contents:
headline event patterns.md : Historical event patterns and market reactions
sector sensitivity matrix.md : Event × sector impact magnitude matrix
scenario playbooks.md : Scenario construction templates and best practices
Phase 2: Agent Invocation
Step 2.1: Invoke scenario analyst
Use the Agent tool to invoke the primary analysis agent.
Expected output:
List of related news articles
Details of the 3 scenarios (Base/Bull/Bear)
Sector impact analysis (1st/2nd/3rd order)
Stock recommendation list
Step 2.2: Invoke strategy reviewer
Using the scenario analyst's results, invoke the review agent.
Expected output:
Pointing out blind spots
Opinion on the scenario probabilities
Pointing out bias
Proposal of alternative scenarios
Final recommendations
Phase 3: Integration & Report Generation
Step 3.1: Integrate Results
Integrate the output of both agents to produce the final investment judgment.
Integration points:
1. Fill in the blind spots raised in the review
2. Adjust the probability allocation (if needed)
3. Make the final judgment accounting for bias
4. Formulate a concrete action plan
Step 3.2: Generate Report
Generate the final report in the following format and save it to a file.
Save location: reports/scenario analysis <topic YYYYMMDD.md
Step 3.3: Save the Report
1. Create the reports/ directory if it does not exist
2. Save as scenario analysis <topic YYYYMMDD.md (e.g., scenario analysis venezuela 20260104.md )
3. Notify the user that the save completed
4. Do not save directly to the project root
Output
This skill generates the following file:
File Format Description
reports/scenario analysis <topic YYYYMMDD.md Markdown Comprehensive scenario analysis report
Output contents:
List of related news articles
3 scenarios — Base/Bull/Bear (with probability allocation)
Sector impact analysis (1st/2nd/3rd order)
Positive/negative stock recommendations
Second opinion / review
Final investment judgment & implications
Resources
References
references/headline event patterns.md Event patterns and market reactions
references/sector sensitivity matrix.md Sector sensitivity matrix
references/scenario playbooks.md Scenario construction templates
Agents
scenario analyst Primary scenario analysis
strategy reviewer Second opinion / review
Important Notes
Language
All analysis and output are in English
Stock tickers remain in their standard (English) symbols
Target Market
Stock selection is US listed equities only
ADRs included
Time Horizon
Scenarios target 18 months
Described in 3 phases: 0 6 months / 6 12 months / 12 18 months
Probability Allocation
Base + Bull + Bear = 100%
Each scenario's probability is described with its rationale
Second Opinion
Mandatory (always invoke strategy reviewer)
Review results are reflected in the final judgment
Output Location (Important)
Always save under the reports/ directory
Path: reports/scenario analysis <topic YYYYMMDD.md
Example: reports/scenario analysis fed rate hike 20260104.md
Create the reports/ directory if it does not exist
Must not save directly to the project root
Quality Checklist
Confirm the following before finalizing the report:
[ ] Is the headline parsed correctly?
[ ] Is the event type classification appropriate?
[ ] Do the 3 scenario probabilities sum to 100%?
[ ] Are the 1st/2nd/3rd order impacts logically connected?
[ ] Is the stock selection backed by concrete rationale?
[ ] Is the strategy reviewer review included?
[ ] Is the final judgment reflecting the review documented?
[ ] Is the report saved to the correct path?